Pandas Profiling Report

Dataset statistics

Number of variables	18
Number of observations	403776
Missing cells	71286
Missing cells (%)	1.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	55.5 MiB
Average record size in memory	144.0 B

Variable types

Numeric	15
Categorical	3

Warnings

`REF_NO` is highly correlated with `year`	High correlation
`year` is highly correlated with `REF_NO`	High correlation
`PM2.5` is highly correlated with `PM10` and 2 other fields	High correlation
`PM10` is highly correlated with `PM2.5` and 2 other fields	High correlation
`SO2` is highly correlated with `NO2` and 1 other fields	High correlation
`NO2` is highly correlated with `PM2.5` and 3 other fields	High correlation
`CO` is highly correlated with `PM2.5` and 3 other fields	High correlation
`O3` is highly correlated with `TEMP`	High correlation
`TEMP` is highly correlated with `O3` and 2 other fields	High correlation
`PRES` is highly correlated with `TEMP` and 1 other fields	High correlation
`DEWP` is highly correlated with `TEMP` and 1 other fields	High correlation
`REF_NO` is highly correlated with `year`	High correlation
`year` is highly correlated with `REF_NO`	High correlation
`PM2.5` is highly correlated with `PM10` and 2 other fields	High correlation
`PM10` is highly correlated with `PM2.5` and 2 other fields	High correlation
`SO2` is highly correlated with `NO2` and 1 other fields	High correlation
`NO2` is highly correlated with `PM2.5` and 4 other fields	High correlation
`CO` is highly correlated with `PM2.5` and 3 other fields	High correlation
`O3` is highly correlated with `NO2` and 1 other fields	High correlation
`TEMP` is highly correlated with `O3` and 2 other fields	High correlation
`PRES` is highly correlated with `TEMP` and 1 other fields	High correlation
`DEWP` is highly correlated with `TEMP` and 1 other fields	High correlation
`REF_NO` is highly correlated with `year`	High correlation
`year` is highly correlated with `REF_NO`	High correlation
`PM2.5` is highly correlated with `PM10` and 1 other fields	High correlation
`PM10` is highly correlated with `PM2.5` and 1 other fields	High correlation
`NO2` is highly correlated with `CO`	High correlation
`CO` is highly correlated with `PM2.5` and 2 other fields	High correlation
`TEMP` is highly correlated with `PRES` and 1 other fields	High correlation
`PRES` is highly correlated with `TEMP` and 1 other fields	High correlation
`DEWP` is highly correlated with `TEMP` and 1 other fields	High correlation
`month` is highly correlated with `TEMP` and 3 other fields	High correlation
`TEMP` is highly correlated with `month` and 3 other fields	High correlation
`CO` is highly correlated with `PM10` and 2 other fields	High correlation
`PM10` is highly correlated with `CO` and 2 other fields	High correlation
`DEWP` is highly correlated with `month` and 3 other fields	High correlation
`PM2.5` is highly correlated with `CO` and 2 other fields	High correlation
`NO2` is highly correlated with `CO` and 2 other fields	High correlation
`REF_NO` is highly correlated with `month` and 4 other fields	High correlation
`PRES` is highly correlated with `month` and 3 other fields	High correlation
`year` is highly correlated with `REF_NO`	High correlation
`PM2.5` has 8475 (2.1%) missing values	Missing
`PM10` has 6222 (1.5%) missing values	Missing
`SO2` has 8776 (2.2%) missing values	Missing
`NO2` has 11859 (2.9%) missing values	Missing
`CO` has 20261 (5.0%) missing values	Missing
`O3` has 13007 (3.2%) missing values	Missing
`RAIN` is highly skewed (γ1 = 29.4402448)	Skewed
`REF_NO` is uniformly distributed	Uniform
`station` is uniformly distributed	Uniform
`hour` has 16824 (4.2%) zeros	Zeros
`RAIN` has 387119 (95.9%) zeros	Zeros
`WSPM` has 10891 (2.7%) zeros	Zeros

Reproduction

Analysis started	2021-05-27 15:09:18.889390
Analysis finished	2021-05-27 15:12:59.157415
Duration	3 minutes and 40.27 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

REF_NO
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	33648
Distinct (%)	8.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16824.5

Minimum	1
Maximum	33648
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.1 MiB

Quantile statistics

Minimum	1
5-th percentile	1683
Q1	8412.75
median	16824.5
Q3	25236.25
95-th percentile	31966
Maximum	33648
Range	33647
Interquartile range (IQR)	16823.5

Descriptive statistics

Standard deviation	9713.352953
Coefficient of variation (CV)	0.5773338258
Kurtosis	-1.200000002
Mean	16824.5
Median Absolute Deviation (MAD)	8412
Skewness	0
Sum	6793329312
Variance	94349225.58
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2049	12	< 0.1%
938	12	< 0.1%
5032	12	< 0.1%
27559	12	< 0.1%
25510	12	< 0.1%
31653	12	< 0.1%
29604	12	< 0.1%
19363	12	< 0.1%
17314	12	< 0.1%
23457	12	< 0.1%
Other values (33638)	403656	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	12	< 0.1%
2	12	< 0.1%
3	12	< 0.1%
4	12	< 0.1%
5	12	< 0.1%
6	12	< 0.1%
7	12	< 0.1%
8	12	< 0.1%
9	12	< 0.1%
10	12	< 0.1%

Value	Count	Frequency (%)
33648	12	< 0.1%
33647	12	< 0.1%
33646	12	< 0.1%
33645	12	< 0.1%
33644	12	< 0.1%
33643	12	< 0.1%
33642	12	< 0.1%
33641	12	< 0.1%
33640	12	< 0.1%
33639	12	< 0.1%

year
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.1 MiB

2016	105408
2015	105120
2014	105120
2013	88128

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	1615104
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2013
2nd row	2013
3rd row	2013
4th row	2013
5th row	2013

Common Values

Value	Count	Frequency (%)
2016	105408	26.1%
2015	105120	26.0%
2014	105120	26.0%
2013	88128	21.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2016	105408	26.1%
2015	105120	26.0%
2014	105120	26.0%
2013	88128	21.8%

Most occurring characters

Value	Count	Frequency (%)
2	403776	25.0%
0	403776	25.0%
1	403776	25.0%
6	105408	6.5%
4	105120	6.5%
5	105120	6.5%
3	88128	5.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1615104	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	403776	25.0%
0	403776	25.0%
1	403776	25.0%
6	105408	6.5%
4	105120	6.5%
5	105120	6.5%
3	88128	5.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	1615104	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	403776	25.0%
0	403776	25.0%
1	403776	25.0%
6	105408	6.5%
4	105120	6.5%
5	105120	6.5%
3	88128	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1615104	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	403776	25.0%
0	403776	25.0%
1	403776	25.0%
6	105408	6.5%
4	105120	6.5%
5	105120	6.5%
3	88128	5.5%

month
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.735378031

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.1 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	7
Q3	10
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.356479072
Coefficient of variation (CV)	0.4983356623
Kurtosis	-1.157296025
Mean	6.735378031
Median Absolute Deviation (MAD)	3
Skewness	-0.0532691034
Sum	2719584
Variance	11.26595176
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
3	35712	8.8%
5	35712	8.8%
7	35712	8.8%
8	35712	8.8%
10	35712	8.8%
12	35712	8.8%
4	34560	8.6%
6	34560	8.6%
9	34560	8.6%
11	34560	8.6%
Other values (2)	51264	12.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	26784	6.6%
2	24480	6.1%
3	35712	8.8%
4	34560	8.6%
5	35712	8.8%
6	34560	8.6%
7	35712	8.8%
8	35712	8.8%
9	34560	8.6%
10	35712	8.8%

Value	Count	Frequency (%)
12	35712	8.8%
11	34560	8.6%
10	35712	8.8%
9	34560	8.6%
8	35712	8.8%
7	35712	8.8%
6	34560	8.6%
5	35712	8.8%
4	34560	8.6%
3	35712	8.8%

day
Real number (ℝ_≥0)

Distinct	31
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.74821683

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.1 MiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	16
Q3	23
95-th percentile	29
Maximum	31
Range	30
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.808891484
Coefficient of variation (CV)	0.5593580262
Kurtosis	-1.195325155
Mean	15.74821683
Median Absolute Deviation (MAD)	8
Skewness	0.005682826695
Sum	6358752
Variance	77.59656917
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
1	13248	3.3%
2	13248	3.3%
28	13248	3.3%
27	13248	3.3%
26	13248	3.3%
25	13248	3.3%
24	13248	3.3%
23	13248	3.3%
22	13248	3.3%
21	13248	3.3%
Other values (21)	271296	67.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	13248	3.3%
2	13248	3.3%
3	13248	3.3%
4	13248	3.3%
5	13248	3.3%
6	13248	3.3%
7	13248	3.3%
8	13248	3.3%
9	13248	3.3%
10	13248	3.3%

Value	Count	Frequency (%)
31	7776	1.9%
30	12384	3.1%
29	12672	3.1%
28	13248	3.3%
27	13248	3.3%
26	13248	3.3%
25	13248	3.3%
24	13248	3.3%
23	13248	3.3%
22	13248	3.3%

hour
Real number (ℝ_≥0)

ZEROS

Distinct	24
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.5

Minimum	0
Maximum	23
Zeros	16824
Zeros (%)	4.2%
Negative	0
Negative (%)	0.0%
Memory size	3.1 MiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	5.75
median	11.5
Q3	17.25
95-th percentile	22
Maximum	23
Range	23
Interquartile range (IQR)	11.5

Descriptive statistics

Standard deviation	6.922195124
Coefficient of variation (CV)	0.6019300108
Kurtosis	-1.204173965
Mean	11.5
Median Absolute Deviation (MAD)	6
Skewness	0
Sum	4643424
Variance	47.91678534
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
0	16824	4.2%
1	16824	4.2%
22	16824	4.2%
21	16824	4.2%
20	16824	4.2%
19	16824	4.2%
18	16824	4.2%
17	16824	4.2%
16	16824	4.2%
15	16824	4.2%
Other values (14)	235536	58.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	16824	4.2%
1	16824	4.2%
2	16824	4.2%
3	16824	4.2%
4	16824	4.2%
5	16824	4.2%
6	16824	4.2%
7	16824	4.2%
8	16824	4.2%
9	16824	4.2%

Value	Count	Frequency (%)
23	16824	4.2%
22	16824	4.2%
21	16824	4.2%
20	16824	4.2%
19	16824	4.2%
18	16824	4.2%
17	16824	4.2%
16	16824	4.2%
15	16824	4.2%
14	16824	4.2%

PM2.5
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	866
Distinct (%)	0.2%
Missing	8475
Missing (%)	2.1%
Infinite	0
Infinite (%)	0.0%
Mean	79.24827511

Minimum	2
Maximum	999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.1 MiB

Quantile statistics

Minimum	2
5-th percentile	6
Q1	21
median	55
Q3	110
95-th percentile	238
Maximum	999
Range	997
Interquartile range (IQR)	89

Descriptive statistics

Standard deviation	79.14670837
Coefficient of variation (CV)	0.9987183728
Kurtosis	5.728756991
Mean	79.24827511
Median Absolute Deviation (MAD)	39
Skewness	1.974286544
Sum	31326922.4
Variance	6264.201445
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	8354	2.1%
10	6609	1.6%
11	6418	1.6%
9	6374	1.6%
12	6346	1.6%
8	6333	1.6%
13	5830	1.4%
14	5765	1.4%
7	5742	1.4%
6	5116	1.3%
Other values (856)	332414	82.3%
(Missing)	8475	2.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	7	< 0.1%
3	8354	2.1%
4	3221	0.8%
4.3	2	< 0.1%
4.4	1	< 0.1%
4.6	1	< 0.1%
5	3984	1.0%
6	5116	1.3%
7	5742	1.4%
7.2	1	< 0.1%

Value	Count	Frequency (%)
999	1	< 0.1%
957	1	< 0.1%
941	1	< 0.1%
898	1	< 0.1%
882	1	< 0.1%
881	1	< 0.1%
857	1	< 0.1%
844	1	< 0.1%
826	1	< 0.1%
821	1	< 0.1%

PM10
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	1048
Distinct (%)	0.3%
Missing	6222
Missing (%)	1.5%
Infinite	0
Infinite (%)	0.0%
Mean	104.3278973

Minimum	2
Maximum	999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.1 MiB

Quantile statistics

Minimum	2
5-th percentile	10
Q1	36
median	83
Q3	145
95-th percentile	277
Maximum	999
Range	997
Interquartile range (IQR)	109

Descriptive statistics

Standard deviation	90.13639956
Coefficient of variation (CV)	0.8639721671
Kurtosis	5.737014891
Mean	104.3278973
Median Absolute Deviation (MAD)	52
Skewness	1.816481632
Sum	41475972.9
Variance	8124.570525
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	4712	1.2%
5	3547	0.9%
18	3523	0.9%
14	3493	0.9%
16	3405	0.8%
17	3383	0.8%
13	3349	0.8%
20	3336	0.8%
24	3240	0.8%
21	3229	0.8%
Other values (1038)	362337	89.7%
(Missing)	6222	1.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	103	< 0.1%
3	719	0.2%
4	264	0.1%
5	3547	0.9%
5.4	2	< 0.1%
5.6	1	< 0.1%
6	4712	1.2%
6.4	1	< 0.1%
6.6	1	< 0.1%
7	2245	0.6%

Value	Count	Frequency (%)
999	3	< 0.1%
995	1	< 0.1%
993	1	< 0.1%
992	1	< 0.1%
991	1	< 0.1%
988	1	< 0.1%
987	1	< 0.1%
986	1	< 0.1%
984	1	< 0.1%
983	1	< 0.1%

SO2
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	685
Distinct (%)	0.2%
Missing	8776
Missing (%)	2.2%
Infinite	0
Infinite (%)	0.0%
Mean	15.73305999

Minimum	0.2856
Maximum	500
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.1 MiB

Quantile statistics

Minimum	0.2856
5-th percentile	2
Q1	2
median	7
Q3	19
95-th percentile	61
Maximum	500
Range	499.7144
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	21.73945549
Coefficient of variation (CV)	1.381769058
Kurtosis	14.00498947
Mean	15.73305999
Median Absolute Deviation (MAD)	5
Skewness	3.007737087
Sum	6214558.695
Variance	472.6039248
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	97027	24.0%
3	31771	7.9%
4	20810	5.2%
5	17091	4.2%
6	15762	3.9%
7	13639	3.4%
8	12722	3.2%
9	10952	2.7%
10	10096	2.5%
11	8863	2.2%
Other values (675)	156267	38.7%
(Missing)	8776	2.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.2856	89	< 0.1%
0.5712	70	< 0.1%
0.8568	72	< 0.1%
1	3221	0.8%
1.1424	84	< 0.1%
1.428	94	< 0.1%
1.7136	83	< 0.1%
1.9992	110	< 0.1%
2	97027	24.0%
2.1	1	< 0.1%

Value	Count	Frequency (%)
500	3	< 0.1%
411	1	< 0.1%
341	1	< 0.1%
315	1	< 0.1%
314	1	< 0.1%
310	1	< 0.1%
299	1	< 0.1%
282	1	< 0.1%
278	1	< 0.1%
277	1	< 0.1%

NO2
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	1209
Distinct (%)	0.3%
Missing	11859
Missing (%)	2.9%
Infinite	0
Infinite (%)	0.0%
Mean	50.35278459

Minimum	1.0265
Maximum	290
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.1 MiB

Quantile statistics

Minimum	1.0265
5-th percentile	8
Q1	23
median	43
Q3	71
95-th percentile	116
Maximum	290
Range	288.9735
Interquartile range (IQR)	48

Descriptive statistics

Standard deviation	34.77190967
Coefficient of variation (CV)	0.6905657741
Kurtosis	1.211420478
Mean	50.35278459
Median Absolute Deviation (MAD)	23
Skewness	1.052701359
Sum	19734112.28
Variance	1209.085702
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
16	5572	1.4%
22	5556	1.4%
20	5523	1.4%
17	5467	1.4%
18	5441	1.3%
26	5420	1.3%
21	5416	1.3%
19	5368	1.3%
14	5366	1.3%
24	5358	1.3%
Other values (1199)	337430	83.6%
(Missing)	11859	2.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.0265	3	< 0.1%
1.2318	2	< 0.1%
1.4371	2	< 0.1%
1.6424	3	< 0.1%
1.8477	1	< 0.1%
2	4364	1.1%
2.053	1	< 0.1%
2.2583	3	< 0.1%
2.4636	1	< 0.1%
2.6689	2	< 0.1%

Value	Count	Frequency (%)
290	1	< 0.1%
285	1	< 0.1%
280	1	< 0.1%
277	2	< 0.1%
273	1	< 0.1%
270	1	< 0.1%
269	1	< 0.1%
265	1	< 0.1%
264	1	< 0.1%
263	2	< 0.1%

CO
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	132
Distinct (%)	< 0.1%
Missing	20261
Missing (%)	5.0%
Infinite	0
Infinite (%)	0.0%
Mean	1214.843339

Minimum	100
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.1 MiB

Quantile statistics

Minimum	100
5-th percentile	200
Q1	500
median	900
Q3	1500
95-th percentile	3400
Maximum	10000
Range	9900
Interquartile range (IQR)	1000

Descriptive statistics

Standard deviation	1124.285676
Coefficient of variation (CV)	0.925457333
Kurtosis	9.450258696
Mean	1214.843339
Median Absolute Deviation (MAD)	500
Skewness	2.56066181
Sum	465910643
Variance	1264018.282
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
300	30662	7.6%
400	29849	7.4%
500	28043	6.9%
600	27189	6.7%
700	25720	6.4%
800	22728	5.6%
900	20655	5.1%
1000	19026	4.7%
200	17370	4.3%
1100	17009	4.2%
Other values (122)	145264	36.0%
(Missing)	20261	5.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
100	5091	1.3%
150	1	< 0.1%
200	17370	4.3%
300	30662	7.6%
350	1	< 0.1%
400	29849	7.4%
500	28043	6.9%
600	27189	6.7%
700	25720	6.4%
800	22728	5.6%

Value	Count	Frequency (%)
10000	51	< 0.1%
9900	25	< 0.1%
9800	24	< 0.1%
9700	23	< 0.1%
9600	23	< 0.1%
9500	22	< 0.1%
9400	25	< 0.1%
9300	31	< 0.1%
9200	31	< 0.1%
9100	31	< 0.1%

O3
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	1597
Distinct (%)	0.4%
Missing	13007
Missing (%)	3.2%
Infinite	0
Infinite (%)	0.0%
Mean	58.11932675

Minimum	0.2142
Maximum	1071
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.1 MiB

Quantile statistics

Minimum	0.2142
5-th percentile	2
Q1	11
median	45
Q3	83
95-th percentile	180
Maximum	1071
Range	1070.7858
Interquartile range (IQR)	72

Descriptive statistics

Standard deviation	57.37596606
Coefficient of variation (CV)	0.9872097505
Kurtosis	6.074069635
Mean	58.11932675
Median Absolute Deviation (MAD)	36
Skewness	1.635163683
Sum	22711231.2
Variance	3292.001482
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	40544	10.0%
3	8245	2.0%
4	7636	1.9%
1	6878	1.7%
5	6129	1.5%
6	5641	1.4%
8	4796	1.2%
7	4642	1.1%
10	3940	1.0%
9	3936	1.0%
Other values (1587)	298382	73.9%
(Missing)	13007	3.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.2142	134	< 0.1%
0.4284	119	< 0.1%
0.6426	118	< 0.1%
0.8568	120	< 0.1%
1	6878	1.7%
1.071	138	< 0.1%
1.2852	147	< 0.1%
1.4994	166	< 0.1%
1.7136	125	< 0.1%
1.9278	147	< 0.1%

Value	Count	Frequency (%)
1071	14	< 0.1%
1050	1	< 0.1%
1026	1	< 0.1%
674	1	< 0.1%
673	1	< 0.1%
500	5	< 0.1%
450	1	< 0.1%
444	1	< 0.1%
432	1	< 0.1%
429	1	< 0.1%

TEMP
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1180
Distinct (%)	0.3%
Missing	264
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	14.08889947

Minimum	-19.9
Maximum	41.6
Zeros	2642
Zeros (%)	0.7%
Negative	55474
Negative (%)	13.7%
Memory size	3.1 MiB

Quantile statistics

Minimum	-19.9
5-th percentile	-4
Q1	4
median	15.4
Q3	23.5
95-th percentile	30.7
Maximum	41.6
Range	61.5
Interquartile range (IQR)	19.5

Descriptive statistics

Standard deviation	11.30353352
Coefficient of variation (CV)	0.802300672
Kurtosis	-1.087420248
Mean	14.08889947
Median Absolute Deviation (MAD)	9.4
Skewness	-0.1686978359
Sum	5685040.005
Variance	127.76987
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	3342	0.8%
1	2796	0.7%
0	2642	0.7%
2	2556	0.6%
-1	2436	0.6%
-2	2293	0.6%
-4	1844	0.5%
4	1772	0.4%
5	1680	0.4%
-5	1633	0.4%
Other values (1170)	380518	94.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-19.9	1	< 0.1%
-19.7	1	< 0.1%
-19.5	1	< 0.1%
-18.9	1	< 0.1%
-18.7	1	< 0.1%
-18.5	1	< 0.1%
-18.1	1	< 0.1%
-17.9	1	< 0.1%
-17.4	1	< 0.1%
-17.3	1	< 0.1%

Value	Count	Frequency (%)
41.6	1	< 0.1%
41.4	2	< 0.1%
41.1	3	< 0.1%
41	2	< 0.1%
40.9	1	< 0.1%
40.6	2	< 0.1%
40.5	8	< 0.1%
40.4	3	< 0.1%
40.3	4	< 0.1%
40.2	2	< 0.1%

PRES
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	675
Distinct (%)	0.2%
Missing	265
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	1010.282534

Minimum	982.4
Maximum	1042.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.1 MiB

Quantile statistics

Minimum	982.4
5-th percentile	994.6
Q1	1002
median	1009.8
Q3	1018.3
95-th percentile	1027.4
Maximum	1042.8
Range	60.4
Interquartile range (IQR)	16.3

Descriptive statistics

Standard deviation	10.35677799
Coefficient of variation (CV)	0.01025136795
Kurtosis	-0.7829195448
Mean	1010.282534
Median Absolute Deviation (MAD)	8.2
Skewness	0.1519478448
Sum	407660115.7
Variance	107.2628503
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1019	2712	0.7%
1018	2695	0.7%
1021	2691	0.7%
1015	2602	0.6%
1023	2596	0.6%
1020	2570	0.6%
1017	2554	0.6%
1016	2528	0.6%
1022	2474	0.6%
1024	2455	0.6%
Other values (665)	377634	93.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
982.4	2	< 0.1%
982.7	2	< 0.1%
982.8	3	< 0.1%
982.9	2	< 0.1%
983	4	< 0.1%
983.2	4	< 0.1%
983.3	3	< 0.1%
983.4	2	< 0.1%
983.5	6	< 0.1%
983.6	4	< 0.1%

Value	Count	Frequency (%)
1042.8	2	< 0.1%
1042.4	1	< 0.1%
1042.3	2	< 0.1%
1042.2	1	< 0.1%
1042	11	< 0.1%
1041.8	8	< 0.1%
1041.7	1	< 0.1%
1041.6	7	< 0.1%
1041.5	2	< 0.1%
1041.4	8	< 0.1%

DEWP
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	645
Distinct (%)	0.2%
Missing	269
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	3.157291447

Minimum	-43.4
Maximum	29.1
Zeros	828
Zeros (%)	0.2%
Negative	168595
Negative (%)	41.8%
Memory size	3.1 MiB

Quantile statistics

Minimum	-43.4
5-th percentile	-19.4
Q1	-8
median	4.2
Q3	15.5
95-th percentile	22.2
Maximum	29.1
Range	72.5
Interquartile range (IQR)	23.5

Descriptive statistics

Standard deviation	13.61727272
Coefficient of variation (CV)	4.312960315
Kurtosis	-1.078189528
Mean	3.157291447
Median Absolute Deviation (MAD)	11.6
Skewness	-0.2500222557
Sum	1273989.2
Variance	185.4301162
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
17.6	1559	0.4%
17	1519	0.4%
17.2	1490	0.4%
16.8	1483	0.4%
17.3	1455	0.4%
17.1	1445	0.4%
17.8	1440	0.4%
16.2	1429	0.4%
18.2	1426	0.4%
17.5	1409	0.3%
Other values (635)	388852	96.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-43.4	1	< 0.1%
-36	1	< 0.1%
-35.7	1	< 0.1%
-35.5	1	< 0.1%
-35.3	7	< 0.1%
-35.1	9	< 0.1%
-35	6	< 0.1%
-34.9	2	< 0.1%
-34.8	7	< 0.1%
-34.6	2	< 0.1%

Value	Count	Frequency (%)
29.1	2	< 0.1%
29	1	< 0.1%
28.8	10	< 0.1%
28.7	12	< 0.1%
28.6	2	< 0.1%
28.5	12	< 0.1%
28.4	14	< 0.1%
28.3	14	< 0.1%
28.2	9	< 0.1%
28.1	9	< 0.1%

RAIN
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	253
Distinct (%)	0.1%
Missing	261
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	0.06705178246

Minimum	0
Maximum	72.5
Zeros	387119
Zeros (%)	95.9%
Negative	0
Negative (%)	0.0%
Memory size	3.1 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	72.5
Range	72.5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.8378448668
Coefficient of variation (CV)	12.49548984
Kurtosis	1291.908304
Mean	0.06705178246
Median Absolute Deviation (MAD)	0
Skewness	29.4402448
Sum	27056.4
Variance	0.7019840208
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	387119	95.9%
0.1	3689	0.9%
0.2	1823	0.5%
0.3	1374	0.3%
0.4	885	0.2%
0.5	847	0.2%
0.6	698	0.2%
0.7	585	0.1%
0.9	502	0.1%
0.8	482	0.1%
Other values (243)	5511	1.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	387119	95.9%
0.1	3689	0.9%
0.2	1823	0.5%
0.3	1374	0.3%
0.4	885	0.2%
0.5	847	0.2%
0.6	698	0.2%
0.7	585	0.1%
0.8	482	0.1%
0.9	502	0.1%

Value	Count	Frequency (%)
72.5	3	< 0.1%
52.1	2	< 0.1%
47.7	1	< 0.1%
46.4	6	< 0.1%
45.9	2	< 0.1%
41.9	1	< 0.1%
40.7	3	< 0.1%
39	1	< 0.1%
38.9	1	< 0.1%
37.4	2	< 0.1%

wd
Categorical

Distinct	16
Distinct (%)	< 0.1%
Missing	1389
Missing (%)	0.3%
Memory size	3.1 MiB

NE	40049
ENE	33262
N	29973
NW	29587
E	29168
Other values (11)	240348

Length

Max length	3
Median length	2
Mean length	2.238176184
Min length	1

Characters and Unicode

Total characters	900613
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NNW
2nd row	N
3rd row	NNW
4th row	NW
5th row	N

Common Values

Value	Count	Frequency (%)
NE	40049	9.9%
ENE	33262	8.2%
N	29973	7.4%
NW	29587	7.3%
E	29168	7.2%
NNE	27247	6.7%
SW	27083	6.7%
NNW	24167	6.0%
WNW	23815	5.9%
ESE	23691	5.9%
Other values (6)	114345	28.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ne	40049	10.0%
ene	33262	8.3%
n	29973	7.4%
nw	29587	7.4%
e	29168	7.2%
nne	27247	6.8%
sw	27083	6.7%
nnw	24167	6.0%
wnw	23815	5.9%
ese	23691	5.9%
Other values (6)	114345	28.4%

Most occurring characters

Value	Count	Frequency (%)
N	259514	28.8%
E	246725	27.4%
W	207045	23.0%
S	187329	20.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	900613	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	259514	28.8%
E	246725	27.4%
W	207045	23.0%
S	187329	20.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	900613	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	259514	28.8%
E	246725	27.4%
W	207045	23.0%
S	187329	20.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	900613	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	259514	28.8%
E	246725	27.4%
W	207045	23.0%
S	187329	20.8%

WSPM
Real number (ℝ_≥0)

ZEROS

Distinct	115
Distinct (%)	< 0.1%
Missing	238
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	1.718379682

Minimum	0
Maximum	13.2
Zeros	10891
Zeros (%)	2.7%
Negative	0
Negative (%)	0.0%
Memory size	3.1 MiB

Quantile statistics

Minimum	0
5-th percentile	0.3
Q1	0.9
median	1.4
Q3	2.2
95-th percentile	4.2
Maximum	13.2
Range	13.2
Interquartile range (IQR)	1.3

Descriptive statistics

Standard deviation	1.237964878
Coefficient of variation (CV)	0.7204256958
Kurtosis	3.691546729
Mean	1.718379682
Median Absolute Deviation (MAD)	0.6
Skewness	1.625270041
Sum	693431.5
Variance	1.532557039
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.1	21486	5.3%
1	21370	5.3%
1.2	21228	5.3%
0.9	20237	5.0%
1.3	19640	4.9%
0.8	18585	4.6%
1.4	17776	4.4%
0.7	16969	4.2%
1.5	16273	4.0%
1.6	15098	3.7%
Other values (105)	214876	53.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	10891	2.7%
0.1	4175	1.0%
0.2	4378	1.1%
0.3	2673	0.7%
0.4	7154	1.8%
0.5	10842	2.7%
0.6	13881	3.4%
0.7	16969	4.2%
0.8	18585	4.6%
0.9	20237	5.0%

Value	Count	Frequency (%)
13.2	1	< 0.1%
12.9	1	< 0.1%
12.8	1	< 0.1%
11.8	1	< 0.1%
11.7	1	< 0.1%
11.2	3	< 0.1%
11	1	< 0.1%
10.9	3	< 0.1%
10.7	1	< 0.1%
10.5	3	< 0.1%

station
Categorical

UNIFORM

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.1 MiB

Wanshouxigong	33648
Gucheng	33648
Nongzhanguan	33648
Tiantan	33648
Shunyi	33648
Other values (7)	235536

Length

Max length	13
Median length	7.5
Mean length	8.416666667
Min length	6

Characters and Unicode

Total characters	3398448
Distinct characters	26
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Aotizhongxin
2nd row	Aotizhongxin
3rd row	Aotizhongxin
4th row	Aotizhongxin
5th row	Aotizhongxin

Common Values

Value	Count	Frequency (%)
Wanshouxigong	33648	8.3%
Gucheng	33648	8.3%
Nongzhanguan	33648	8.3%
Tiantan	33648	8.3%
Shunyi	33648	8.3%
Dingling	33648	8.3%
Guanyuan	33648	8.3%
Dongsi	33648	8.3%
Wanliu	33648	8.3%
Huairou	33648	8.3%
Other values (2)	67296	16.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
guanyuan	33648	8.3%
dongsi	33648	8.3%
dingling	33648	8.3%
tiantan	33648	8.3%
gucheng	33648	8.3%
nongzhanguan	33648	8.3%
wanliu	33648	8.3%
wanshouxigong	33648	8.3%
aotizhongxin	33648	8.3%
changping	33648	8.3%
Other values (2)	67296	16.7%

Most occurring characters

Value	Count	Frequency (%)
n	639312	18.8%
i	370128	10.9%
g	370128	10.9%
a	336480	9.9%
u	302832	8.9%
o	235536	6.9%
h	201888	5.9%
t	67296	2.0%
z	67296	2.0%
x	67296	2.0%
Other values (16)	740256	21.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2994672	88.1%
Uppercase Letter	403776	11.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	639312	21.3%
i	370128	12.4%
g	370128	12.4%
a	336480	11.2%
u	302832	10.1%
o	235536	7.9%
h	201888	6.7%
t	67296	2.2%
z	67296	2.2%
x	67296	2.2%
Other values (7)	336480	11.2%

Uppercase Letter

Value	Count	Frequency (%)
D	67296	16.7%
G	67296	16.7%
W	67296	16.7%
A	33648	8.3%
C	33648	8.3%
H	33648	8.3%
N	33648	8.3%
S	33648	8.3%
T	33648	8.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3398448	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	639312	18.8%
i	370128	10.9%
g	370128	10.9%
a	336480	9.9%
u	302832	8.9%
o	235536	6.9%
h	201888	5.9%
t	67296	2.0%
z	67296	2.0%
x	67296	2.0%
Other values (16)	740256	21.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3398448	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	639312	18.8%
i	370128	10.9%
g	370128	10.9%
a	336480	9.9%
u	302832	8.9%
o	235536	6.9%
h	201888	5.9%
t	67296	2.0%
z	67296	2.0%
x	67296	2.0%
Other values (16)	740256	21.8%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	REF_NO	year	month	day	hour	PM2.5	PM10	SO2	NO2	CO	O3	TEMP	PRES	DEWP	wd	WSPM	station
0	1	2013	3	1	0	4.00000	4.00000	4.00000	7.00000	300.00000	77.00000	-0.70000	1023.00000	-18.80000	NNW	4.40000	Aotizhongxin
1	2	2013	3	1	1	8.00000	8.00000	4.00000	7.00000	300.00000	77.00000	-1.10000	1023.20000	-18.20000	N	4.70000	Aotizhongxin
2	3	2013	3	1	2	7.00000	7.00000	5.00000	10.00000	300.00000	73.00000	-1.10000	1023.50000	-18.20000	NNW	5.60000	Aotizhongxin
3	4	2013	3	1	3	6.00000	6.00000	11.00000	11.00000	300.00000	72.00000	-1.40000	1024.50000	-19.40000	NW	3.10000	Aotizhongxin
4	5	2013	3	1	4	3.00000	3.00000	12.00000	12.00000	300.00000	72.00000	-2.00000	1025.20000	-19.50000	N	2.00000	Aotizhongxin
5	6	2013	3	1	5	5.00000	5.00000	18.00000	18.00000	400.00000	66.00000	-2.20000	1025.60000	-19.60000	N	3.70000	Aotizhongxin
6	7	2013	3	1	6	3.00000	3.00000	18.00000	32.00000	500.00000	50.00000	-2.60000	1026.50000	-19.10000	NNE	2.50000	Aotizhongxin
7	8	2013	3	1	7	3.00000	6.00000	19.00000	41.00000	500.00000	43.00000	-1.60000	1027.40000	-19.10000	NNW	3.80000	Aotizhongxin
8	9	2013	3	1	8	3.00000	6.00000	16.00000	43.00000	500.00000	45.00000	0.10000	1028.30000	-19.20000	NNW	4.10000	Aotizhongxin
9	10	2013	3	1	9	3.00000	8.00000	12.00000	28.00000	400.00000	59.00000	1.20000	1028.50000	-19.30000	N	2.60000	Aotizhongxin

Last rows

	REF_NO	year	month	day	hour	PM2.5	PM10	SO2	NO2	CO	O3	TEMP	PRES	DEWP	wd	WSPM	station
403766	33639	2016	12	31	14	399.00000	412.00000	31.00000	198.00000	4900.00000	6.00000	3.80000	1021.90000	-8.90000	SSE	1.00000	Wanshouxigong
403767	33640	2016	12	31	15	449.00000	524.00000	30.00000	217.00000	5600.00000	8.00000	3.90000	1021.50000	-6.10000	S	1.40000	Wanshouxigong
403768	33641	2016	12	31	16	440.00000	440.00000	26.00000	200.00000	4700.00000	6.00000	2.80000	1021.50000	-6.60000	SSE	0.70000	Wanshouxigong
403769	33642	2016	12	31	17	378.00000	378.00000	20.00000	171.00000	3800.00000	4.00000	1.20000	1021.40000	-5.50000	SSE	1.10000	Wanshouxigong
403770	33643	2016	12	31	18	392.00000	458.00000	14.00000	160.00000	3900.00000	3.00000	-1.30000	1021.90000	-6.50000	S	0.60000	Wanshouxigong
403771	33644	2016	12	31	19	449.00000	487.00000	10.00000	153.00000	4500.00000	4.00000	-1.90000	1022.00000	-6.10000	ESE	0.90000	Wanshouxigong
403772	33645	2016	12	31	20	460.00000	492.00000	12.00000	146.00000	4100.00000	4.00000	-2.50000	1022.40000	-5.50000	ENE	0.70000	Wanshouxigong
403773	33646	2016	12	31	21	463.00000	498.00000	12.00000	141.00000	4400.00000	5.00000	-3.00000	1022.10000	-5.30000	E	0.90000	Wanshouxigong
403774	33647	2016	12	31	22	493.00000	537.00000	12.00000	124.00000	5000.00000	8.00000	-3.00000	1022.70000	-5.00000	SW	0.10000	Wanshouxigong
403775	33648	2016	12	31	23	464.00000	490.00000	8.00000	111.00000	5400.00000	7.00000	-4.00000	1022.60000	-5.70000	ENE	0.90000	Wanshouxigong

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows